Serialized Form

Package org.apache.commons.math

Class org.apache.commons.math.ConvergenceException extends MathException implements Serializable

serialVersionUID: -3657394299929217890l

Class org.apache.commons.math.FunctionEvaluationException extends MathException implements Serializable

serialVersionUID: -317289374378977972l

Serialized Fields

argument

double argument

Argument causing function evaluation failure

Class org.apache.commons.math.MathConfigurationException extends MathException implements Serializable

serialVersionUID: -7958299004965931723l

Class org.apache.commons.math.MathException extends Exception implements Serializable

serialVersionUID: -8594613561393443827l

Serialized Fields

rootCause

Throwable rootCause

Root cause of the exception

Package org.apache.commons.math.analysis

Class org.apache.commons.math.analysis.BisectionSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: 7137520585963699578l

Class org.apache.commons.math.analysis.BrentSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: 3350616277306882875l

Class org.apache.commons.math.analysis.NewtonSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: 2606474895443431607l

Serialized Fields

derivative

UnivariateRealFunction derivative

The first derivative of the target function.

Class org.apache.commons.math.analysis.PolynomialFunction extends Object implements Serializable

serialVersionUID: 3322454535052136809l

Serialized Fields

coefficients

double[] coefficients

The coefficients of the polynomial, ordered by degree -- i.e., coefficients[0] is the constant term and coefficients[n] is the coefficient of x^n where n is the degree of the polynomial.

Class org.apache.commons.math.analysis.PolynomialSplineFunction extends Object implements Serializable

serialVersionUID: 7011031166416885789l

Serialized Fields

knots

double[] knots

Spline segment interval delimiters (knots). Size is n+1 for n segments.

polynomials

PolynomialFunction[] polynomials

The polynomial functions that make up the spline. The first element determines the value of the spline over the first subinterval, the second over the second, etc. Spline function values are determined by evaluating these functions at (x - knot[i]) where i is the knot segment to which x belongs.

n

int n

Number of spline segments = number of polynomials = number of partition points - 1

Class org.apache.commons.math.analysis.SecantSolver extends UnivariateRealSolverImpl implements Serializable

serialVersionUID: 1984971194738974867l

Class org.apache.commons.math.analysis.UnivariateRealSolverImpl extends Object implements Serializable

serialVersionUID: 1112491292565386596l

Serialized Fields

absoluteAccuracy

double absoluteAccuracy

Maximum absolute error.

relativeAccuracy

double relativeAccuracy

Maximum relative error.

functionValueAccuracy

double functionValueAccuracy

Maximum error of function.

maximalIterationCount

int maximalIterationCount

Maximum number of iterations.

defaultAbsoluteAccuracy

double defaultAbsoluteAccuracy

Default maximum absolute error.

defaultRelativeAccuracy

double defaultRelativeAccuracy

Default maximum relative error.

defaultFunctionValueAccuracy

double defaultFunctionValueAccuracy

Default maximum error of function.

defaultMaximalIterationCount

int defaultMaximalIterationCount

Default maximum number of iterations.

resultComputed

boolean resultComputed

Indicates where a root has been computed.

result

double result

The last computed root.

iterationCount

int iterationCount

The last iteration count.

f

UnivariateRealFunction f

The function to solve.

Package org.apache.commons.math.complex

Class org.apache.commons.math.complex.Complex extends Object implements Serializable

serialVersionUID: -6530173849413811929l

Serialized Fields

imaginary

double imaginary

The imaginary part.

real

double real

The real part.

Class org.apache.commons.math.complex.ComplexFormat extends Format implements Serializable

serialVersionUID: -6337346779577272306l

Serialized Fields

imaginaryCharacter

String imaginaryCharacter

The notation used to signify the imaginary part of the complex number.

imaginaryFormat

NumberFormat imaginaryFormat

The format used for the imaginary part.

realFormat

NumberFormat realFormat

The format used for the real part.

Package org.apache.commons.math.distribution

Class org.apache.commons.math.distribution.AbstractContinuousDistribution extends AbstractDistribution implements Serializable

serialVersionUID: -38038050983108802l

Class org.apache.commons.math.distribution.AbstractDistribution extends Object implements Serializable

serialVersionUID: -38038050983108802l

Class org.apache.commons.math.distribution.AbstractIntegerDistribution extends AbstractDistribution implements Serializable

serialVersionUID: -1146319659338487221l

Class org.apache.commons.math.distribution.BinomialDistributionImpl extends AbstractIntegerDistribution implements Serializable

serialVersionUID: 6751309484392813623l

Serialized Fields

numberOfTrials

int numberOfTrials

The number of trials.

probabilityOfSuccess

double probabilityOfSuccess

The probability of success.

Class org.apache.commons.math.distribution.ChiSquaredDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: -8352658048349159782l

Serialized Fields

gamma

GammaDistribution gamma

Internal Gamma distribution.

Class org.apache.commons.math.distribution.ExponentialDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: 2401296428283614780l

Serialized Fields

mean

double mean

The mean of this distribution.

Class org.apache.commons.math.distribution.FDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: -8516354193418641566l

Serialized Fields

numeratorDegreesOfFreedom

double numeratorDegreesOfFreedom

The numerator degrees of freedom

denominatorDegreesOfFreedom

double denominatorDegreesOfFreedom

The numerator degrees of freedom

Class org.apache.commons.math.distribution.GammaDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: -3239549463135430361l

Serialized Fields

alpha

double alpha

The shape parameter.

beta

double beta

The scale parameter.

Class org.apache.commons.math.distribution.HypergeometricDistributionImpl extends AbstractIntegerDistribution implements Serializable

serialVersionUID: -436928820673516179l

Serialized Fields

numberOfSuccesses

int numberOfSuccesses

The number of successes in the population.

populationSize

int populationSize

The population size.

sampleSize

int sampleSize

The sample size.

Class org.apache.commons.math.distribution.NormalDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: 8589540077390120676l

Serialized Fields

mean

double mean

The mean of this distribution.

standardDeviation

double standardDeviation

The standard deviation of this distribution.

Class org.apache.commons.math.distribution.PoissonDistributionImpl extends AbstractIntegerDistribution implements Serializable

serialVersionUID: -3349935121172596109l

Serialized Fields

mean

double mean

Holds the Poisson mean for the distribution.

Class org.apache.commons.math.distribution.TDistributionImpl extends AbstractContinuousDistribution implements Serializable

serialVersionUID: -5852615386664158222l

Serialized Fields

degreesOfFreedom

double degreesOfFreedom

The degrees of freedom

Package org.apache.commons.math.linear

Class org.apache.commons.math.linear.BigMatrixImpl extends Object implements Serializable

serialVersionUID: -1011428905656140431l

Serialized Fields

data

BigDecimal[][] data

Entries of the matrix

lu

BigDecimal[][] lu

Entries of cached LU decomposition. All updates to data (other than luDecompose()) *must* set this to null

permutation

int[] permutation

Permutation associated with LU decompostion

parity

int parity

Parity of the permutation associated with the LU decomposition

roundingMode

int roundingMode

Rounding mode for divisions

scale

int scale

BigDecimal scale

Class org.apache.commons.math.linear.InvalidMatrixException extends RuntimeException implements Serializable

serialVersionUID: 5318837237354354107l

Class org.apache.commons.math.linear.MatrixIndexException extends RuntimeException implements Serializable

serialVersionUID: -1341109412864309526l

Class org.apache.commons.math.linear.RealMatrixImpl extends Object implements Serializable

serialVersionUID: 4237564493130426188l

Serialized Fields

data

double[][] data

Entries of the matrix

lu

double[][] lu

Entries of cached LU decomposition. All updates to data (other than luDecompose()) *must* set this to null

permutation

int[] permutation

Permutation associated with LU decompostion

parity

int parity

Parity of the permutation associated with the LU decomposition

Package org.apache.commons.math.random

Class org.apache.commons.math.random.EmpiricalDistributionImpl extends Object implements Serializable

serialVersionUID: -6773236347582113490l

Serialized Fields

binStats

ArrayList binStats

List of SummaryStatistics objects characterizing the bins

sampleStats

SummaryStatistics sampleStats

Sample statistics

binCount

int binCount

number of bins

loaded

boolean loaded

is the distribution loaded?

upperBounds

double[] upperBounds

upper bounds of subintervals in (0,1) "belonging" to the bins

randomData

RandomData randomData

RandomData instance to use in repeated calls to getNext()

Class org.apache.commons.math.random.RandomDataImpl extends Object implements Serializable

serialVersionUID: -626730818244969716l

Serialized Fields

rand

Random rand

underlying random number generator

secRand

SecureRandom secRand

underlying secure random number generator

Package org.apache.commons.math.special

Class org.apache.commons.math.special.Beta extends Object implements Serializable

Class org.apache.commons.math.special.Erf extends Object implements Serializable

Class org.apache.commons.math.special.Gamma extends Object implements Serializable

Package org.apache.commons.math.stat

Class org.apache.commons.math.stat.Frequency extends Object implements Serializable

serialVersionUID: -3845586908418844111l

Serialized Fields

freqTable

TreeMap freqTable

underlying collection

Package org.apache.commons.math.stat.descriptive

Class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic extends AbstractUnivariateStatistic implements Serializable

serialVersionUID: -44915725420072521l

Class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic extends Object implements Serializable

serialVersionUID: -8007759382851708045l

Class org.apache.commons.math.stat.descriptive.DescriptiveStatistics extends Object implements Serializable

serialVersionUID: 5188298269533339922l

Class org.apache.commons.math.stat.descriptive.DescriptiveStatisticsImpl extends DescriptiveStatistics implements Serializable

serialVersionUID: -1868088725461221010l

Serialized Fields

windowSize

int windowSize

hold the window size

eDA

ResizableDoubleArray eDA

Stored data values

Class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues extends Object implements Serializable

serialVersionUID: -5108854841843722536l

Serialized Fields

mean

double mean

The sample mean

variance

double variance

The sample variance

n

long n

The number of observations in the sample

max

double max

The maximum value

min

double min

The minimum value

sum

double sum

The sum of the sample values

Class org.apache.commons.math.stat.descriptive.SummaryStatistics extends Object implements Serializable

serialVersionUID: -6400596334135654825l

Class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl extends SummaryStatistics implements Serializable

serialVersionUID: 8787174276883311692l

Serialized Fields

n

long n

count of values that have been added

secondMoment

SecondMoment secondMoment

SecondMoment is used to compute the mean and variance

sum

Sum sum

sum of values that have been added

sumsq

SumOfSquares sumsq

sum of the square of each value that has been added

min

Min min

min of values that have been added

max

Max max

max of values that have been added

sumLog

SumOfLogs sumLog

sumLog of values that have been added

geoMean

GeometricMean geoMean

geoMean of values that have been added

mean

Mean mean

mean of values that have been added

variance

Variance variance

variance of values that have been added

Package org.apache.commons.math.stat.descriptive.moment

Class org.apache.commons.math.stat.descriptive.moment.FirstMoment extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -803343206421984070l

Serialized Fields

n

long n

Count of values that have been added

m1

double m1

First moment of values that have been added

dev

double dev

Deviation of most recently added value from previous first moment. Retained to prevent repeated computation in higher order moments.

nDev

double nDev

Deviation of most recently added value from previous first moment, normalized by previous sample size. Retained to prevent repeated computation in higher order moments

Class org.apache.commons.math.stat.descriptive.moment.FourthMoment extends ThirdMoment implements Serializable

serialVersionUID: 4763990447117157611l

Serialized Fields

m4

double m4

fourth moment of values that have been added

Class org.apache.commons.math.stat.descriptive.moment.GeometricMean extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -8178734905303459453l

Serialized Fields

sumOfLogs

SumOfLogs sumOfLogs

Wrapped SumOfLogs instance

Class org.apache.commons.math.stat.descriptive.moment.Kurtosis extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 2784465764798260919l

Serialized Fields

moment

FourthMoment moment

Fourth Moment on which this statistic is based

incMoment

boolean incMoment

Determines whether or not this statistic can be incremented or cleared.

Statistics based on (constructed from) external moments cannot be incremented or cleared.

Class org.apache.commons.math.stat.descriptive.moment.Mean extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -1296043746617791564l

Serialized Fields

moment

FirstMoment moment

First moment on which this statistic is based.

incMoment

boolean incMoment

Determines whether or not this statistic can be incremented or cleared.

Statistics based on (constructed from) external moments cannot be incremented or cleared.

Class org.apache.commons.math.stat.descriptive.moment.SecondMoment extends FirstMoment implements Serializable

serialVersionUID: 3942403127395076445l

Serialized Fields

m2

double m2

second moment of values that have been added

Class org.apache.commons.math.stat.descriptive.moment.Skewness extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 7101857578996691352l

Serialized Fields

moment

ThirdMoment moment

Third moment on which this statistic is based

incMoment

boolean incMoment

Determines whether or not this statistic can be incremented or cleared.

Statistics based on (constructed from) external moments cannot be incremented or cleared.

Class org.apache.commons.math.stat.descriptive.moment.StandardDeviation extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 5728716329662425188l

Serialized Fields

variance

Variance variance

Wrapped Variance instance

Class org.apache.commons.math.stat.descriptive.moment.ThirdMoment extends SecondMoment implements Serializable

serialVersionUID: -7818711964045118679l

Serialized Fields

m3

double m3

third moment of values that have been added

nDevSq

double nDevSq

Square of deviation of most recently added value from previous first moment, normalized by previous sample size. Retained to prevent repeated computation in higher order moments. nDevSq = nDev * nDev.

Class org.apache.commons.math.stat.descriptive.moment.Variance extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -9111962718267217978l

Serialized Fields

moment

SecondMoment moment

SecondMoment is used in incremental calculation of Variance

incMoment

boolean incMoment

Boolean test to determine if this Variance should also increment the second moment, this evaluates to false when this Variance is constructed with an external SecondMoment as a parameter.

isBiasCorrected

boolean isBiasCorrected

Determines whether or not bias correction is applied when computing the value of the statisic. True means that bias is corrected. See Variance for details on the formula.

Package org.apache.commons.math.stat.descriptive.rank

Class org.apache.commons.math.stat.descriptive.rank.Max extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -5593383832225844641l

Serialized Fields

n

long n

Number of values that have been added

value

double value

Current value of the statistic

Class org.apache.commons.math.stat.descriptive.rank.Median extends Percentile implements Serializable

serialVersionUID: -3961477041290915687l

Class org.apache.commons.math.stat.descriptive.rank.Min extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -2941995784909003131l

Serialized Fields

n

long n

Number of values that have been added

value

double value

Current value of the statistic

Class org.apache.commons.math.stat.descriptive.rank.Percentile extends AbstractUnivariateStatistic implements Serializable

serialVersionUID: -8091216485095130416l

Serialized Fields

quantile

double quantile

Determines what percentile is computed when evaluate() is activated with no quantile argument

Package org.apache.commons.math.stat.descriptive.summary

Class org.apache.commons.math.stat.descriptive.summary.Product extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 2824226005990582538l

Serialized Fields

n

long n

The number of values that have been added

value

double value

The current Running Product.

Class org.apache.commons.math.stat.descriptive.summary.Sum extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -8231831954703408316l

Serialized Fields

n

long n

value

double value

The currently running sum.

Class org.apache.commons.math.stat.descriptive.summary.SumOfLogs extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: -370076995648386763l

Serialized Fields

n

int n

Number of values that have been added

value

double value

The currently running value

Class org.apache.commons.math.stat.descriptive.summary.SumOfSquares extends AbstractStorelessUnivariateStatistic implements Serializable

serialVersionUID: 1460986908574398008l

Serialized Fields

n

long n

value

double value

The currently running sumSq

Package org.apache.commons.math.stat.regression

Class org.apache.commons.math.stat.regression.SimpleRegression extends Object implements Serializable

serialVersionUID: -3004689053607543335l

Serialized Fields

sumX

double sumX

sum of x values

sumXX

double sumXX

total variation in x (sum of squared deviations from xbar)

sumY

double sumY

sum of y values

sumYY

double sumYY

total variation in y (sum of squared deviations from ybar)

sumXY

double sumXY

sum of products

n

long n

number of observations

xbar

double xbar

mean of accumulated x values, used in updating formulas

ybar

double ybar

mean of accumulated y values, used in updating formulas

Package org.apache.commons.math.util

Class org.apache.commons.math.util.ContinuedFraction extends Object implements Serializable

serialVersionUID: 1768555336266158242l

Class org.apache.commons.math.util.DefaultTransformer extends Object implements Serializable

serialVersionUID: 4019938025047800455l

Class org.apache.commons.math.util.ResizableDoubleArray extends Object implements Serializable

serialVersionUID: -3485529955529426875l

Serialized Fields

contractionCriteria

float contractionCriteria

The contraction criteria determines when the internal array will be contracted to fit the number of elements contained in the element array + 1.

expansionFactor

float expansionFactor

The expansion factor of the array. When the array needs to be expanded, the new array size will be internalArray.length * expansionFactor if expansionMode is set to MULTIPLICATIVE_MODE, or internalArray.length + expansionFactor if expansionMode is set to ADDITIVE_MODE.

expansionMode

int expansionMode

Determines whether array expansion by expansionFactor is additive or multiplicative.

initialCapacity

int initialCapacity

The initial capacity of the array. Initial capacity is not exposed as a property as it is only meaningful when passed to a constructor.

internalArray

double[] internalArray

The internal storage array.

numElements

int numElements

The number of addressable elements in the array. Note that this has nothing to do with the length of the internal storage array.

startIndex

int startIndex

The position of the first addressable element in the internal storage array. The addressable elements in the array are internalArray[startIndex],...,internalArray[startIndex + numElements -1]

Class org.apache.commons.math.util.TransformerMap extends Object implements Serializable

serialVersionUID: -942772950698439883l

Serialized Fields

defaultTransformer

NumberTransformer defaultTransformer

A default Number Transformer for Numbers and numeric Strings.

map

Map map

The internal Map.